content: /*
   * Copyright 2017 David Karnok
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   *     http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  package hu.akarnokd.reactive4javaflow;
  
  import org.openjdk.jmh.annotations.*;
  
  import java.util.*;
  import java.util.concurrent.TimeUnit;
  
  /**
   * Example benchmark. Run from command line as
   * <br>
   * gradle jmh -Pjmh="ParallelProcessingPerf"
   */
  @BenchmarkMode(Mode.SingleShotTime)
  @Warmup(iterations = 5)
  @Measurement(iterations = 5, time = 1, timeUnit = TimeUnit.SECONDS)
  @OutputTimeUnit(TimeUnit.SECONDS)
  @Fork(value = 1)
  @State(Scope.Thread)
  public class ParallelProcessingPerf {
  
      @Benchmark
      public void process() {
          int[] counters = { 0, 0 };
          Folyam.range(1, 1_000)
                  .flatMap(v -> Folyam.range(v * 50_000, 50_000))
                  .parallel()
                  .runOn(SchedulerServices.computation())
                  .map(v -> {
                      List<Runnable> tasks = new ArrayList<>();
  
                      tasks.add(() -> { counters[0]++; });
                      if ((v & 3) == 0) {
                          tasks.add(() -> { counters[1]++; });
                      }
  
                      return tasks;
                  })
                  .sequential()
                  .blockingSubscribe(list -> list.forEach(Runnable::run), Throwable::printStackTrace);
      }
  
  }